# Disease-Enriched Physical Activity Patterns

Wearable accelerometers record activity around the clock, but summary measures and population-wide clustering can miss disease-associated behavioral differences. LocPA adjusts hourly activity profiles for age, sex and body mass index, then tests local disease enrichment on a similarity network and groups enriched neighborhoods into patterns. In UK Biobank 24-hour accelerometry, a low-activity and a sleep-disrupted phenotype recurred across six diseases; in hypertension and diabetes the sleep-disrupted group carried greater disease burden, while average acceleration and moderate-to-vigorous activity time did not follow that ordering.

Wearable accelerometers record activity around the clock, but summary measures and population-wide clustering can miss disease-associated behavioral differences. LocPA adjusts hourly activity profiles for age, sex and body mass index, then tests local disease enrichment on a similarity network and groups enriched neighborhoods into patterns. In UK Biobank 24-hour accelerometry, a low-activity and a sleep-disrupted phenotype recurred across six diseases; in hypertension and diabetes the sleep-disrupted group carried greater disease burden, while average acceleration and moderate-to-vigorous activity time did not follow that ordering.